机场群航班时刻资源优化配置技术与方法研究

航班时刻是航空运输系统内最重要的资源，科学合理的时刻配置是提升系统运行效率和效益的关键。已有时刻配置研究局限于单一机场，面向机场群的时刻配置研究尚未开展。建设世界级机场群是我国民航发展的一项重要任务，开展机场群航班时刻资源优化配置研究具有广阔的应用前景。本项目拟采用数据驱动、数学建模和计算机仿真相结合的方法，识别机场群运行模式，构建机场群内交通流分配模型和基于排队论的机场群运行模型；考虑天气等不确定性因素提出基于随机优化的公布容量确定方法；考虑机场群内时刻协调机场、辅时刻协调机场和非时刻协调机场，建立具有异质节点网络的资源分配模型；在给定机场公布容量、空域容量和时刻配置规则下优化分配时刻。通过计算机仿真与实际运行对模型和方法进行平行验证。本项目不仅符合国家和行业战略发展需求，具有重大应用价值，同时还具有重要的科学意义。

Slot is the most valuable resource in the air transport system. The optimal allocation of slots to airlines is fundamental to the improvement of the efficiency and performance of the system. Previous research mainly focuses on slot allocation for a single airport, while little work can be been found in slot allocation for airports in a metropolitan area. The development of airports in the metropolitan area is one of the main tasks of the civil aviation of China. Therefore, the optimization of slot allocation in these airports has practical significance. This project aims to optimize slot allocation in a group of airports, by the combination of mathematical modeling, fast-time simulation and data-driven approaches. The operational patterns of metroplex are first identified from historical data. A traffic assignment model and a queuing-based operation model are then developed. The robust optimization and stochastic optimization are introduced to determine robust declared capacities for airports. Heterogeneous network models consisting of coordinated airports facilitated airports, and level 1 airports are formulated to optimize slot allocation, under the constraints of slot policies and declared capacities. The optimization results are validated and evaluated through high-fidelity simulation and/or field tests. This research is in line with the strategy for the development of national civil aviation. It also has significant scientific implications for demand management and resource allocation in air transportation.